DRC Violation Prediction with Pre-global-routing Features Through Convolutional Neural Network-Reference-Cited by-同舟云学术

DRC Violation Prediction with Pre-global-routing Features Through Convolutional Neural Network

Published:2023-06-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Great Lakes Symposium on VLSI 2023
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Author:

Lin Jhen-Gang¹^ORCID,Chen Yu-Guang²^ORCID,Yang Yun-Wei³^ORCID,Hung Wei-Tse¹^ORCID,Tsai Cheng-Hong⁴^ORCID,Fu De-Shiun⁴^ORCID,Chao Mango Chia-Tso¹^ORCID

Affiliation:

1. National Yang Ming Chiao Tung University, Hsinchu, Taiwan Roc

2. National Central University, Taotuan, Taiwan Roc

3. National Central University, Taoyuan, Taiwan Roc

4. Global Unichip Corporation, Hsinchu, Taiwan Roc

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583781.3590216

Reference21 articles.

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2. Case study for placement solutions in ispd11 and dac12 routability-driven placement contests

3. Vladimir Yutsis , Ismail S. Bustany , David Chinnery , Joseph R. Shinnerl , and Wen-Hao Liu . 2014 . ISPD 2014 benchmarks with sub-45nm technology rules for detailed-routing-driven placement. In Proceedings of the 2014 on International symposium on physical design (ISPD '14) . 161--168. Vladimir Yutsis, Ismail S. Bustany, David Chinnery, Joseph R. Shinnerl, and Wen-Hao Liu. 2014. ISPD 2014 benchmarks with sub-45nm technology rules for detailed-routing-driven placement. In Proceedings of the 2014 on International symposium on physical design (ISPD '14). 161--168.

4. BEOL stack-aware routability prediction from placement using data mining techniques

5. Transforming Global Routing Report into DRC Violation Map with Convolutional Neural Network